






'''simple docstring'''







# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import copy
import importlib.metadata
import json
import os
from dataclasses import dataclass
from typing import Any, Dict, Union

from packaging import version

from ..utils import is_torch_available, logging


if is_torch_available():
  import torch


__lowerCAmelCase        =							logging.get_logger(__name__)




@dataclass
class   __SCREAMING_SNAKE_CASE       :


  """simple docstring"""


  def __init__(			self   ,	UpperCamelCase__=False   ,	UpperCamelCase__=False   ,	UpperCamelCase__=6.0   ,	UpperCamelCase__=None   ,	UpperCamelCase__=False   ,	UpperCamelCase__=False   ,	UpperCamelCase__=None   ,	UpperCamelCase__="fp4"   ,	UpperCamelCase__=False   ,	**UpperCamelCase__   ,	):






         """simple docstring"""


         a_						     =			load_in_abit
         a_						     =			load_in_abit
         a_						     =			llm_inta_threshold
         a_						     =			llm_inta_skip_modules
         a_						     =			llm_inta_enable_fpaa_cpu_offload
         a_						     =			llm_inta_has_fpaa_weight
         a_						     =			bnb_abit_quant_type
         a_						     =			bnb_abit_use_double_quant

         if bnb_abit_compute_dtype is None:
                a_						     =			torch.floataa
         elif isinstance(UpperCamelCase__   ,	UpperCamelCase__	):
                a_						     =			getattr(UpperCamelCase__   ,	UpperCamelCase__	)
         elif isinstance(UpperCamelCase__   ,	torch.dtype	):
                a_						     =			bnb_abit_compute_dtype
         else:
                raise ValueError('bnb_4bit_compute_dtype must be a string or a torch.dtype'	)

         self.post_init()







  def    _a       (			self	):






         """simple docstring"""


         if not isinstance(self.llm_inta_threshold   ,	UpperCamelCase__	):
                raise ValueError('llm_int8_threshold must be a float'	)

         if self.llm_inta_skip_modules is not None and not isinstance(self.llm_inta_skip_modules   ,	UpperCamelCase__	):
                raise ValueError('llm_int8_skip_modules must be a list of strings'	)
         if not isinstance(self.llm_inta_enable_fpaa_cpu_offload   ,	UpperCamelCase__	):
                raise ValueError('llm_int8_enable_fp32_cpu_offload must be a boolean'	)

         if not isinstance(self.llm_inta_has_fpaa_weight   ,	UpperCamelCase__	):
                raise ValueError('llm_int8_has_fp16_weight must be a boolean'	)

         if self.bnb_abit_compute_dtype is not None and not isinstance(self.bnb_abit_compute_dtype   ,	torch.dtype	):
                raise ValueError('bnb_4bit_compute_dtype must be torch.dtype'	)

         if not isinstance(self.bnb_abit_quant_type   ,	UpperCamelCase__	):
                raise ValueError('bnb_4bit_quant_type must be a string'	)

         if not isinstance(self.bnb_abit_use_double_quant   ,	UpperCamelCase__	):
                raise ValueError('bnb_4bit_use_double_quant must be a boolean'	)

         if self.load_in_abit and not version.parse(importlib.metadata.version('bitsandbytes'	)	) >= version.parse(
             '0.39.0'	):
                raise ValueError(
                    '4 bit quantization requires bitsandbytes>=0.39.0 - please upgrade your bitsandbytes version'	)







  def    _a       (			self	):






         """simple docstring"""


         return self.load_in_abit or self.load_in_abit







  def    _a       (			self	):






         """simple docstring"""


         if self.load_in_abit:
                return "llm_int8"
         elif self.load_in_abit and self.bnb_abit_quant_type == "fp4":
                return "fp4"
         elif self.load_in_abit and self.bnb_abit_quant_type == "nf4":
                return "nf4"
         else:
                return None







  @classmethod
  def    _a       (			cls   ,	UpperCamelCase__   ,	UpperCamelCase__   ,	**UpperCamelCase__	):






         """simple docstring"""


         a_						     =			cls(**UpperCamelCase__	)

         a_						     =			[]
         for key, value in kwargs.items():
                if hasattr(UpperCamelCase__   ,	UpperCamelCase__	):
                       setattr(UpperCamelCase__   ,	UpperCamelCase__   ,	UpperCamelCase__	)
                       to_remove.append(UpperCamelCase__	)
         for key in to_remove:
                kwargs.pop(UpperCamelCase__   ,	UpperCamelCase__	)

         if return_unused_kwargs:
                return config, kwargs
         else:
                return config







  def    _a       (			self   ,	UpperCamelCase__	):






         """simple docstring"""


         with open(UpperCamelCase__   ,	'w'   ,	encoding='utf-8'	) as writer:
                a_						     =			self.to_dict()
                a_						     =			json.dumps(UpperCamelCase__   ,	indent=2   ,	sort_keys=UpperCamelCase__	) + '\n'

                writer.write(UpperCamelCase__	)







  def    _a       (			self	):






         """simple docstring"""


         a_						     =			copy.deepcopy(self.__dict__	)
         a_						     =			str(output['bnb_4bit_compute_dtype']	).split('.'	)[1]

         return output







  def __repr__(			self	):






         """simple docstring"""


         return f'{self.__class__.__name__} {self.to_json_string()}'







  def    _a       (			self   ,	UpperCamelCase__ = True	):






         """simple docstring"""


         if use_diff is True:
                a_						     =			self.to_diff_dict()
         else:
                a_						     =			self.to_dict()
         return json.dumps(UpperCamelCase__   ,	indent=2   ,	sort_keys=UpperCamelCase__	) + "\n"







  def    _a       (			self	):






         """simple docstring"""


         a_						     =			self.to_dict()

         # get the default config dict
         a_						     =			BitsAndBytesConfig().to_dict()

         a_						     =			{}

         # only serialize values that differ from the default config
         for key, value in config_dict.items():
                if value != default_config_dict[key]:
                       a_						     =			value

         return serializable_config_dict












'''simple docstring'''







import cmath
import math


def       __UpperCamelCase					(      lowercase_       :  float   ,       lowercase_       :  float   ,       lowercase_       :  float   ,       lowercase_       :  float   ):
       """simple docstring"""




       a_						     =			math.radians(lowercase_   )
       a_						     =			math.radians(lowercase_   )

       # Convert voltage and current to rectangular form
       a_						     =			cmath.rect(lowercase_   ,       lowercase_   )
       a_						     =			cmath.rect(lowercase_   ,       lowercase_   )

       # Calculate apparent power
       return voltage_rect * current_rect


if __name__ == "__main__":
  import doctest

  doctest.testmod()




